When sampling sound we need to take into account two types of possible aliasings: temporal and spatial. Depending on the highest frequency that we want to capture \(f_c\) , we define our temporal sampling step \(\Delta t\)  in such a way that the sampling frequency satisfies \(f_s=\frac{1}{\Delta t} > 2f_c\)  [1]}. Once the temporal sampling step is fixed, we determine the appropriate sampling step in space either by the limits imposed by the Courant–Friedrichs–Lewy condition [2]} for finite difference time domain (FDTD) schemes, or by a contemporary view of the problem observed through the sampling of the PAF [3]}.
